Identifying two distinct neuroanatomical subtypes of first-episode depression using heterogeneity through discriminative analysis.
J Affect Disord
; 349: 479-485, 2024 Mar 15.
Article
en En
| MEDLINE
| ID: mdl-38218252
ABSTRACT
BACKGROUND:
Neurobiological heterogeneity in depression remains largely unknown, leading to inconsistent neuroimaging findings.METHODS:
Here, we adopted a novel proposed machine learning method ground on gray matter volumes (GMVs) to investigate neuroanatomical subtypes of first-episode treatment-naïve depression. GMVs were obtained from high-resolution T1-weighted images of 195 patients with first-episode, treatment-naïve depression and 78 matched healthy controls (HCs). Then we explored distinct subtypes of depression by employing heterogeneity through discriminative analysis (HYDRA) with regional GMVs as features.RESULTS:
Two prominently divergent subtypes of first-episode depression were identified, exhibiting opposite structural alterations compared with HCs but no different demographic features. Subtype 1 presented widespread increased GMVs mainly located in frontal, parietal, temporal cortex and partially located in limbic system. Subtype 2 presented widespread decreased GMVs mainly located in thalamus, cerebellum, limbic system and partially located in frontal, parietal, temporal cortex. Subtype 2 had smaller TIV and longer illness duration than Subtype 1. And TIV in Subtype 1 was positively correlated with age of onset while not in Subtype 2, probably implying the different potential neuropathological mechanisms.LIMITATIONS:
Despite results obtained in this study were validated by employing another brain atlas, the conclusions were acquired from a single dataset.CONCLUSIONS:
This study revealed two distinguishing neuroanatomical subtypes of first-episode depression, which provides new insights into underlying biological mechanisms of the heterogeneity in depression and might be helpful for accurate clinical diagnosis and future treatment.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Imagen por Resonancia Magnética
/
Depresión
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
J Affect Disord
Año:
2024
Tipo del documento:
Article